Senior Lead Agentic AI Engineer – Construction & Engineering
Tasks
- Apply context engineering
- Build and consume APIs
- Build event-driven services
- Build front-end and back-end
- Create evaluation harnesses
- Deploy and run services
- Design agentic architectures
- Design full lifecycle features
- Document technical decisions
- Ensure performance and scalability
- Implement rag pipelines
- Integrate AI features with LLMs
- Lead autonomous team
- Own code in production
- Set technical direction
- Test in customer environments
- Write production code
Perks/Benefits
- Customer environment exposure
- Global diverse environment
- Hybrid work flexibility
- Inclusive workplace
- Professional growth and mentorship
- Sustainability focused team
Skills/Tech-stack
API Development | Agentic architecture | Agile | CI/CD | Context engineering | Evaluation | Event Driven | Event-driven architecture | GitOps | Infrastructure as Code | Kubernetes | LLM integration | Observability | Retrieval-Augmented Generation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Lead | Lead Agentic AI | Lead Agentic AI Engineer | Software Engineer
Regions
Countries
States
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